Electric vehicles management enabling G2V and V2G in smart distribution system for maximizing profits using MOMVO

Summary Charging electric vehicles (EVs) by the grid leads to unexpected spikes in load demand threatening the power system health. As EVs store energy, they can dispense power to meet peak load demands. This paper proposes a charging/discharging strategy to augment the utility of the EVs with a con...

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Vydáno v:International transactions on electrical energy systems Ročník 29; číslo 6
Hlavní autoři: Kasturi, Kumari, Nayak, Chinmay Kumar, Nayak, Manas Ranjan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Hoboken John Wiley & Sons, Inc 01.06.2019
Témata:
Algorithms
Automobile industry
Buses
distribution system
Electric vehicle charging
Electric vehicles
Energy management
Energy storage
multiobjective multiverse optimization algorithm (MOMVO)
Multiple objective analysis
Optimization
Peak load
Radial distribution
Schedules
techno‐economic analysis
time of use pricing
vehicle to grid technology
Vehicle-to-grid
ISSN:2050-7038, 2050-7038
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Shrnutí:Summary Charging electric vehicles (EVs) by the grid leads to unexpected spikes in load demand threatening the power system health. As EVs store energy, they can dispense power to meet peak load demands. This paper proposes a charging/discharging strategy to augment the utility of the EVs with a controlled schedule by considering an appropriate driving pattern. EVs are allowed to charge or discharge at the workplace or home which are connected to the same bus of a radial distribution system. Multiobjective multiverse optimization algorithm (MOMVO) is utilized to extract the best possible number of EVs and the bus at which they must be connected, not only to minimize the impact of EV charging/discharging on the grid but also to reduce the costs associated with the operation on behalf of both the EV owner and the utility company. The results obtained ensure both technical and economical appositeness of the proposed strategy.
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ISSN:2050-7038
2050-7038
DOI:10.1002/2050-7038.12013